A calculation method for Spatially Varying Bidirectional Reflection Factor of target based on hyper-spectral image sequence

Wang, Junfeng; Nian, Fudong; Chen, Zhenting; Liu, Gang

doi:10.1016/j.optcom.2020.126598

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Consequently, research on hyperspectral imaging has become a hot topic in the study of target-scattering properties. Due to the distinct spectral characteristics of different targets, people can classify and identify the targets contained in images [1] and extract features of hyperspectral images and targets [2,3]. These research findings have wide-ranging applications in both military and civilian fields.…”

Section: Introductionmentioning

confidence: 97%

A Calculation Method for the Hyperspectral Imaging of Targets Utilizing a Ray-Tracing Algorithm

Cao,

et al. 2024

Remote Sensing

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This paper proposes a hyperspectral imaging simulation method based on a ray-tracing algorithm. The algorithm combines calculations based on solar and atmospheric visible light radiation as well as the spectral bidirectional reflection distribution function (BRDF) of the target surface material and can create its own scenarios for simulation calculations on demand. Considering the presence of multiple scattering between the target and background, using the ray-tracing algorithm enables the precise computation of results involving multiple scattering. To validate the accuracy of the algorithm, we compared the simulated results with the theoretical values of the visible light scattering intensity from a Lambertian sphere. The relative error obtained was 0.8%. Subsequently, a complex scene of engineering vehicles and grass was established. The results of different observation angles and different coating materials were calculated and analyzed. In summary, the algorithm presented in this paper has the following advantages. Firstly, it is applicable to geometric models composed of any triangular mesh elements and accurately computes the effects of multiple scattering. Secondly, the algorithm combines the spectral BRDF information of materials and improves the efficiency of multiple scattering calculations using nonuniform sampling. The computed hyperspectral scattering data can be applied to simulate airborne or space-borne remote sensing data.

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Section: Introductionmentioning

confidence: 97%

A Calculation Method for the Hyperspectral Imaging of Targets Utilizing a Ray-Tracing Algorithm

Cao,

et al. 2024

Remote Sensing

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“…Our recent works focuses on studying the influence of bidirectional radiation characteristics, geometric shadows and background radiation on the mixed pixels of three-dimensional targets. A method for obtaining the Spatially Varying Bidirectional Reflection Factor (SVBRF) of the target based on the hyper-spectral image sequence was proposed [17]. In addition, in view of the characteristics of three-dimensional geometric target, we take each surface of the three-dimensional target as the component end element.…”

Section: Introductionmentioning

confidence: 99%

Analysis and optimization method of influencing factors for three-dimensional target mixed pixels under zero meteorological view distance

Wang,

LIU,

CHEN

et al. 2023

Preprint

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Mixed pixels widely exist in the obtained hyper-spectral data,which directly affects the accuracy of optical remote sensing imaging simulation. Aiming at the three-dimensional target under zero meteorological view distance, this paper comprehensively considers the effects of directional reflection characteristics, geometric shadows and background radiation on the generation of mixed pixels.It proposes a method of modeling mixed pixels by taking each surface of a three-dimensional target as an end element component and using the weight coefficient of the distance between the end element groups to the view center. Through designing experiments to simulate different influence conditions such as directional reflection, geometric shadow and background radiation, this paper verifies the influence of the radiation value of the mixed pixels of the three-dimensional target produced by different mixing conditions in the single-pixel field of view. The experimental results show that directional reflection characteristics, geometric occlusion shadows and background radiation have significant effects on the generation of mixed pixels for the three-dimensional targets. The improved mixed pixel modeling method proposed in this paper considering the influence of multiple factors has an average error of less than 10% in modeling accuracy of three-dimensional targets, which is significantly better than traditional linear modeling methods. It can be seen that the research results of this paper have good reference significance for the research of the three-dimensional target mixed pixel radiation model.

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A calculation method for Spatially Varying Bidirectional Reflection Factor of target based on hyper-spectral image sequence

Cited by 2 publications

References 16 publications

A Calculation Method for the Hyperspectral Imaging of Targets Utilizing a Ray-Tracing Algorithm

A Calculation Method for the Hyperspectral Imaging of Targets Utilizing a Ray-Tracing Algorithm

Analysis and optimization method of influencing factors for three-dimensional target mixed pixels under zero meteorological view distance

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